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| SolverRelaxation (SolverControl &cn, const AdditionalData &data=AdditionalData()) |
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template<typename MatrixType , class RelaxationType > |
void | solve (const MatrixType &A, VectorType &x, const VectorType &b, const RelaxationType &R) |
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boost::signals2::connection | connect (const std::function< SolverControl::State(const unsigned int iteration, const double check_value, const VectorType ¤t_iterate)> &slot) |
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template<class Archive > |
void | serialize (Archive &ar, const unsigned int version) |
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Classes derived from Subscriptor provide a facility to subscribe to this object. This is mostly used by the SmartPointer class.
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void | subscribe (std::atomic< bool > *const validity, const std::string &identifier="") const |
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void | unsubscribe (std::atomic< bool > *const validity, const std::string &identifier="") const |
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unsigned int | n_subscriptions () const |
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template<typename StreamType > |
void | list_subscribers (StreamType &stream) const |
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void | list_subscribers () const |
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template<typename VectorType = Vector<double>>
class SolverRelaxation< VectorType >
Implementation of an iterative solver based on relaxation methods. The stopping criterion is the norm of the residual.
For the requirements on matrices and vectors in order to work with this class, see the documentation of the Solver base class.
Like all other solver classes, this class has a local structure called AdditionalData
which is used to pass additional parameters to the solver, like damping parameters or the number of temporary vectors. We use this additional structure instead of passing these values directly to the constructor because this makes the use of the SolverSelector
and other classes much easier and guarantees that these will continue to work even if number or type of the additional parameters for a certain solver changes. AdditionalData of this class currently does not contain any data.
Observing the progress of linear solver iterations
The solve() function of this class uses the mechanism described in the Solver base class to determine convergence. This mechanism can also be used to observe the progress of the iteration.
Definition at line 57 of file solver_relaxation.h.
template<class VectorType >
template<typename MatrixType , class RelaxationType >
void SolverRelaxation< VectorType >::solve |
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const MatrixType & |
A, |
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VectorType & |
x, |
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const VectorType & |
b, |
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const RelaxationType & |
R |
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Solve the system \(Ax = b\) using the relaxation method \(x_{k+1} =
R(x_k,b)\). The matrix A itself is only used to compute the residual.
Definition at line 99 of file solver_relaxation.h.
template<class Archive >
void Subscriptor::serialize |
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Archive & |
ar, |
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const unsigned int |
version |
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) |
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inlineinherited |
Read or write the data of this object to or from a stream for the purpose of serialization using the BOOST serialization library.
This function does not actually serialize any of the member variables of this class. The reason is that what this class stores is only who subscribes to this object, but who does so at the time of storing the contents of this object does not necessarily have anything to do with who subscribes to the object when it is restored. Consequently, we do not want to overwrite the subscribers at the time of restoring, and then there is no reason to write the subscribers out in the first place.
Definition at line 309 of file subscriptor.h.
template<class VectorType = Vector<double>>
A signal that iterative solvers can execute at the end of every iteration (or in an otherwise periodic fashion) to find out whether we should continue iterating or not. The signal may call one or more slots that each will make this determination by themselves, and the result over all slots (function calls) will be determined by the StateCombiner object.
The arguments passed to the signal are (i) the number of the current iteration; (ii) the value that is used to determine convergence (oftentimes the residual, but in other cases other quantities may be used as long as they converge to zero as the iterate approaches the solution of the linear system); and (iii) a vector that corresponds to the current best guess for the solution at the point where the signal is called. Note that some solvers do not update the approximate solution in every iteration but only after convergence or failure has been determined (GMRES is an example); in such cases, the vector passed as the last argument to the signal is simply the best approximate at the time the signal is called, but not the vector that will be returned if the signal's return value indicates that the iteration should be terminated.
Definition at line 470 of file solver.h.
std::atomic<unsigned int> Subscriptor::counter |
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mutableprivateinherited |
Store the number of objects which subscribed to this object. Initially, this number is zero, and upon destruction it shall be zero again (i.e. all objects which subscribed should have unsubscribed again).
The creator (and owner) of an object is counted in the map below if HE manages to supply identification.
We use the mutable
keyword in order to allow subscription to constant objects also.
This counter may be read from and written to concurrently in multithreaded code: hence we use the std::atomic
class template.
Definition at line 219 of file subscriptor.h.